Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified ...

Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...

Abstract: This study aimed to compare the overall performance of two prominent machine learning approaches for tackling classification problems: feature engineering-based learning and deep learning.

Even if the most dire predictions about AI fail to materialize, there’s no doubt that its arrival raises big questions about the purpose of K–12 education. Most existentially: What skills do students ...